Francesco Merolla

64 papers and 1.3k indexed citations i.

About

Francesco Merolla is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Francesco Merolla has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 23 papers in Oncology and 13 papers in Artificial Intelligence. Recurrent topics in Francesco Merolla’s work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Cancer-related Molecular Pathways (7 papers). Francesco Merolla is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Cancer-related Molecular Pathways (7 papers). Francesco Merolla collaborates with scholars based in Italy, United States and Germany. Francesco Merolla's co-authors include Angela Celetti, Stefania Staibano, Gennaro Ilardi, Massimo Mascolo, Aniello Cerrato, Daniela Russo, Gaetano De Rosa, Alfredo Fusco, Francesco Morra and Maria Siano and has published in prestigious journals such as Molecular Cell, PLoS ONE and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Francesco Merolla i

Fields of papers citing papers by Francesco Merolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Merolla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Merolla. The network helps show where Francesco Merolla may publish in the future.

Countries citing papers authored by Francesco Merolla

Since Specialization
Citations

This map shows the geographic impact of Francesco Merolla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Merolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Merolla more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025